{"id":38,"date":"2025-05-01T12:24:37","date_gmt":"2025-05-01T12:24:37","guid":{"rendered":"https:\/\/hmdsoft.com\/?page_id=38"},"modified":"2026-08-29T18:16:46","modified_gmt":"2026-08-29T18:16:46","slug":"introduction","status":"publish","type":"page","link":"https:\/\/hmdsoft.com\/","title":{"rendered":"Mesh Works: Generative Studio"},"content":{"rendered":"\n
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Object Generation Meshy AI<\/h2>\n\n\n\n

Mesh Works bridges Meshy AI and the Unity Editor. Users configure generation parameters\u2014including prompts, AI model selection, topology, output format, and file names\u2014directly within the UI. Once Meshy AI processes the request, Mesh Works automatically delivers production-ready 3D assets into Unity.<\/p>\n\n\n\n

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Sub Functions<\/p>\n\n\n\n

Text to Model: <\/strong> Integrates Meshy’s Text to 3D capabilities with the Unity Editor. Text to 3D uses a two-step workflow. First, create a preview task”preview”) to generate a 3D mesh without texture, so you can evaluate the shape. Then, pass the completed preview task’s ID to a refine task to apply texture to the mesh. <\/p>\n\n\n\n

Image to Model: <\/strong> Brings Meshy\u2019s Image-to-3D and Multi-Image-to-3D technology straight to Unity. Effortlessly convert visual references into high-fidelity 3D assets.<\/p>\n\n\n\n

Remesh:<\/strong> Seamlessly remesh and export 3D assets generated by Meshy’s Text-to-3D or Image-to-3D APIs into multiple formats, directly within the Unity Editor.<\/p>\n\n\n\n

Retexture:<\/strong> Modify a 3D object\u2019s texture while preserving its underlying mesh. Simply describe the desired changes with a text prompt\u2014such as switching from stripes to a checkered pattern\u2014and update your asset instantly from the Unity Editor.<\/p>\n\n\n\n

Rig:<\/strong> Automatically generate and bind humanoid armatures to your 3D models directly within Unity, preparing your meshes for instant animation.<\/p>\n\n\n\n

Animations:<\/strong> Access hundreds of pre-built animations directly inside Unity. Seamlessly browse, select, and apply animations to any rigged character with a single click.<\/p>\n\n\n\n

Object Generation Tripo<\/h2>\n\n\n\n

Mesh Works bridges Tripo and the Unity Editor. Users configure generation parameters\u2014including prompts, AI model selection, topology, output format, and file names\u2014directly within the UI. Once Tripo processes the request, Mesh Works automatically delivers production-ready 3D assets into Unity.<\/p>\n\n\n\n

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Sub Functions<\/p>\n\n\n\n

Text to Model: <\/strong> Integrates Tripo\u2019s Text to 3D capabilities with the Unity Editor. Generates a 3D model from a text prompt. Produces geometry, optional textures, and optional PBR material maps.<\/p>\n\n\n\n

Image to Model:<\/strong> Brings Tripo\u2019s Image-to-3D and Multi-Image-to-3D technology straight to Unity. Generate a 3D model from an image. The system infers geometry and texture from the input.<\/p>\n\n\n\n

Upload Image:<\/strong> Upload Images and Models to the Tripo Server for future processing. Every uploaded file returns a file_token for future requests.<\/p>\n\n\n\n

Mesh Complete:<\/strong> Officially named Mesh Part Completion<\/strong>, this feature allows Tripo to complete segmented mesh parts and repair missing regions directly inside the Unity Editor upon request.<\/p>\n\n\n\n

Texture: <\/strong> Regenerate texture maps for an existing 3D model. The model meshes will remain unchanged.<\/p>\n\n\n\n

Auto Rig:<\/strong> Automatically add a skeleton rig to a 3D model. Run rig-check first to verify compatibility, all from the Unity Editor.<\/p>\n\n\n\n

Animations:<\/strong> Animation Retargeting delivers a requested animation for 3D Model.<\/p>\n\n\n\n

Gaussian Splat:<\/strong> Gaussian Splatting is a modern 3D representation well-suited for high-quality real-time rendering and photorealistic scene reconstruction. The Gaussian Splatting is driven with the input of a single image.<\/p>\n\n\n\n

Rag Generation<\/h2>\n\n\n\n

Mesh Works connects Google\u2019s Gemini gemini-3.0-flash Model directly with the Unity Editor, for Retrieval-augmented generation (RAG). RAG is a technique that’s used to retrieve and provide relevant information to LLMs to generate verifiable responses. The information can include fresh information, a topic and context, or ground truth.<\/p>\n\n\n\n

Key Features & Capabilities<\/strong><\/p>\n\n\n\n